{"id":"W4242340565","doi":"10.1088/1755-1315/432/1/011001","title":"Preface","year":2020,"lang":"en","type":"article","venue":"IOP Conference Series Earth and Environmental Science","topic":"Geological Modeling and Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Beijing; Library science; Sustainable development; Political science; Chinese academy of sciences; Engineering; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001160419,0.0001080077,0.0001169933,0.000022478,0.0003183222,0.0001196918,0.000234736,0.00002940127,0.003298796],"category_scores_gemma":[0.0000312597,0.00008130437,0.00002433432,0.00018392,0.0007954203,0.0004531782,0.00004507916,0.00009259961,0.0003407302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001162691,"about_ca_system_score_gemma":0.000024568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001761697,"about_ca_topic_score_gemma":0.0001445314,"domain_scores_codex":[0.9989103,0.00001839022,0.0001111582,0.0003836074,0.0002785687,0.0002979471],"domain_scores_gemma":[0.9994694,0.0000113096,0.00003174145,0.00009674397,0.000005434877,0.0003853506],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001386673,0.00003966002,0.3884956,0.00002795011,0.00002084268,0.00004086719,0.002593477,0.01603811,0.0522995,0.0006133129,0.00008661915,0.5396054],"study_design_scores_gemma":[0.0002147403,0.000556808,0.868972,0.000008056327,0.0000162358,0.00002288782,0.001821183,0.1043572,0.01201734,0.0003522498,0.01126481,0.0003965045],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926724,0.0001988341,0.0001678491,0.001857937,0.00003938722,0.00005093158,0.00003613576,0.00003349909,0.004942957],"genre_scores_gemma":[0.9979563,0.0002789833,0.0008271514,0.0006457738,0.00003449004,3.678252e-7,0.00001925046,9.927572e-7,0.000236679],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5392089,"threshold_uncertainty_score":0.9976123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02126321859434133,"score_gpt":0.1818649363506172,"score_spread":0.1606017177562759,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}